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Field
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support the research and development of a new generation of light source based on gas-filled hollow fibers. Despite the rise of novel nonlinear materials, the generation, control and application of light
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aims to position itself among world-renowned universities in its fields The University is engaged in economic and human development and puts research and innovation at the forefront of African
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Responsibilities will vary depending on the Fellow’s background, but may include: Developing machine learning, optimization, or simulation models to improve clinical operations and resource allocation Advancing
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developing data acquisition and signal processing software (LabVIEW, MATLAB, etc.), mainly for temperature and pressure data. Some familiarity with magnetic fusion energy Required Application Materials CV
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& Environmental Science offers a variety of undergraduate and graduate programs to educate, inspire and prepare the next generation of scientists. https://www.unr.edu/cabnr & https://www.unr.edu/bmb Search
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QGG Aarhus University seeks two Postdoctoral researchers in Quantitative Genetics of sustainable ...
commitment to high-quality research and education and the development of society nationally and globally. The university offers an inspiring research and teaching environment toits 38,000 students (FTEs) and
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at: https://www.umu.se/en/department-of-computing-science/ Project description and working tasks The project will develop privacy-aware machine learning (ML) models. We are interested in data driven models
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) who holds a doctorate degree in Biology, Biology and Ecology of Global Changes, Ecology or Ecology and Biodiversity and a scientific and professional curriculum whose profile is suited for the activity
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develop and pursue a coherent research agenda The ability to develop a body of high-quality publications in scholarly journals with global impact Proficiency in statistical software packages, including R
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partners in the digital health and health delivery ecosystem. Research Responsibilities Responsibilities will vary depending on the Fellow’s background, but may include: • Developing machine learning